Machine Learning Engineer
Green field. Empty canvas. Blank slate.
Within the Argos technology organisation we are building our machine learning and algorithms practice and therefore seeking a thought leader to help shape our vision and build our machine learning and algorithms practice. .
Argos is embarking on a journey towards automating processes and decisions. Key to such automation are platforms in big data and machine learning. As a business we have identified numerous business optimisation opportunities that fit well with algorithmic analysis and machine learning techniques.
Candidates to this position will be instrumental to the success of machine learning at Argos. As a hands on innovator you will implement business solutions using modern ML techniques. As an evangelist you will identify opportunities to apply ML and teach ML techniques across the technology organisation.
Ideal candidates for this role will have prior industry experience applying ML on a wide range of optimisation problems (supply chain/transportation optimisation, demand forecasting, collaborative filter/recommendations, sentiment analysis, and payment fraud).
At Argos we have a rich history in innovation and customer service. We are embarking on the next step in our journey and welcome you to apply to be part of the innovation team.
Analyse requirements and create effective feature roadmaps
Apply expert software development skills to a wide range of ML-related coding projects
Drive and adopt machine learning tools and methods that best exploit modern computational environments
Evangelize and foster pervasive ML adoption across the technology and business organisations
BS/MS degree in Computer Science or related quantitative field with 3 years of relevant experience (PhD would be ideal)
Experience in one or more of the following areas: machine learning, recommendation systems, pattern recognition, large-scale data mining
Ability to translate insights into business recommendations
Experience with big data (i.e. Hadoop) and machine learning (i.e. Spark, Storm) platforms
Development expertise in languages (Java, C++, Perl, Python)